{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ABU量化系统使用文档 \n",
    "\n",
    "<center>\n",
    "        <img src=\"./image/abu_logo.png\" alt=\"\" style=\"vertical-align:middle;padding:10px 20px;\"><font size=\"6\" color=\"black\"><b>第6节 回测结果的度量</b></font>\n",
    "</center>\n",
    "\n",
    "-----------------\n",
    "\n",
    "作者: 阿布\n",
    "\n",
    "阿布量化版权所有 未经允许 禁止转载\n",
    "\n",
    "[abu量化系统github地址](https://github.com/bbfamily/abu) (您的star是我的动力！)\n",
    "\n",
    "[本节ipython notebook](https://github.com/bbfamily/abu/tree/master/abupy_lecture)\n",
    "\n",
    "首先导入abupy中本节使用的模块："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "enable example env will only read RomDataBu/df_kl.h5\n"
     ]
    }
   ],
   "source": [
    "# 基础库导入\n",
    "\n",
    "from __future__ import print_function\n",
    "from __future__ import division\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "warnings.simplefilter('ignore')\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import os\n",
    "import sys\n",
    "# 使用insert 0即只使用github，避免交叉使用了pip安装的abupy，导致的版本不一致问题\n",
    "sys.path.insert(0, os.path.abspath('../'))\n",
    "import abupy\n",
    "\n",
    "# 使用沙盒数据，目的是和书中一样的数据环境\n",
    "abupy.env.enable_example_env_ipython()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "前面小节中都使用分解流程方式一步一步实现回测，目的是为了更清晰的说明内部操作流程， 编码过程会显的有些复杂臃肿，但实际上在编写完成一个策略后只需要使用一行代码即abu.run_loop_back可以完成回测。\n",
    "\n",
    "详细代码实现请阅读abu.run_loop_back()函数，下面使用run_loop_back()进行策略示例："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pid:79853 gen kl_pd complete:100.0%\n",
      "pid:79854 gen kl_pd complete:100.0%\n",
      "pid:79854 done!\n",
      "pid:79853 done!\n",
      "pid:79855 gen kl_pd complete:100.0%\n",
      "pid:79855 done!\n",
      "pid:79856 gen kl_pd complete:100.0%\n",
      "pid:79856 done!\n",
      "pid:79857 gen kl_pd complete:100.0%\n",
      "pid:79857 done!\n",
      "pid:79858 gen kl_pd complete:100.0%\n",
      "pid:79858 done!\n",
      "pid:79859 gen kl_pd complete:100.0%\n",
      "pid:79859 done!\n",
      "pid:79860 gen kl_pd complete:100.0%\n",
      "pid:79860 done!\n",
      "pid:79861 pick times complete:100.0%\n",
      "pid:79862 pick times complete:100.0%\n",
      "pid:79863 pick times complete:100.0%\n",
      "pid:79864 pick times complete:100.0%\n",
      "pid:79865 pick times complete:100.0%\n",
      "pid:79866 pick times complete:100.0%\n",
      "pid:79868 pick times complete:100.0%\n",
      "pid:79867 pick times complete:100.0%\n",
      "pid:79866 done!\n",
      "pid:79862 done!\n",
      "pid:79865 done!\n",
      "pid:79863 done!\n",
      "pid:79861 done!\n",
      "pid:79864 done!\n",
      "pid:79868 done!\n",
      "pid:79867 done!\n"
     ]
    }
   ],
   "source": [
    "from abupy import AbuFactorBuyBreak\n",
    "from abupy import AbuFactorAtrNStop\n",
    "from abupy import AbuFactorPreAtrNStop\n",
    "from abupy import AbuFactorCloseAtrNStop\n",
    "# run_loop_back等一些常用且最外层的方法定义在abu中\n",
    "from abupy import abu, ABuProgress\n",
    "\n",
    "# 设置初始资金数\n",
    "read_cash = 1000000\n",
    "# 设置选股因子，None为不使用选股因子\n",
    "stock_pickers = None\n",
    "# 买入因子依然延用向上突破因子\n",
    "buy_factors = [{'xd': 60, 'class': AbuFactorBuyBreak},\n",
    "               {'xd': 42, 'class': AbuFactorBuyBreak}]\n",
    "\n",
    "# 卖出因子继续使用上一节使用的因子\n",
    "sell_factors = [\n",
    "    {'stop_loss_n': 1.0, 'stop_win_n': 3.0,\n",
    "     'class': AbuFactorAtrNStop},\n",
    "    {'class': AbuFactorPreAtrNStop, 'pre_atr_n': 1.5},\n",
    "    {'class': AbuFactorCloseAtrNStop, 'close_atr_n': 1.5}\n",
    "]\n",
    "# 择时股票池\n",
    "choice_symbols = ['usNOAH', 'usSFUN', 'usBIDU', 'usAAPL', 'usGOOG',\n",
    "                  'usTSLA', 'usWUBA', 'usVIPS']\n",
    "# 使用run_loop_back运行策略\n",
    "abu_result_tuple, kl_pd_manger = abu.run_loop_back(read_cash,\n",
    "                                                   buy_factors,\n",
    "                                                   sell_factors,\n",
    "                                                   stock_pickers,\n",
    "                                                   choice_symbols=choice_symbols,\n",
    "                                                   n_folds=2)\n",
    "ABuProgress.clear_output()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "如上代码abu.run_loop_back接口只需要买入策略序列，卖出策略序列等必要的用户参数，不再涉及AbuBenchmark，AbuCapital等对象的构建操作行为。\n",
    "\n",
    "可通过help查看abu.run_loop_back使用帮助, 更多详情请阅读源代码。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function run_loop_back in module abupy.CoreBu.ABu:\n",
      "\n",
      "run_loop_back(read_cash, buy_factors, sell_factors, stock_picks=None, choice_symbols=None, n_folds=2, start=None, end=None, commission_dict=None, n_process_kl=16, n_process_pick=8)\n",
      "    封装执行择时，选股回测。\n",
      "    \n",
      "    推荐在使用abu.run_loop_back()函数进行全市场回测前使用abu.run_kl_update()函数首先将数据进行更新，\n",
      "    在run_kl_update()中它会首选强制使用网络数据进行更新，在更新完毕后，更改数据获取方式为本地缓存，\n",
      "    使用abu.run_kl_update()的好处是将数据更新与策略回测分离，在运行效率及问题排查上都会带来正面的提升\n",
      "    \n",
      "    :param read_cash: 初始化资金额度，eg：1000000\n",
      "    :param buy_factors: 回测使用的买入因子策略序列，\n",
      "                    eg：\n",
      "                        buy_factors = [{'xd': 60, 'class': AbuFactorBuyBreak},\n",
      "                                       {'xd': 42, 'class': AbuFactorBuyBreak}]\n",
      "    :param sell_factors: 回测使用的卖出因子序列，\n",
      "                    eg:\n",
      "                        sell_factors = [{'stop_loss_n': 0.5, 'stop_win_n': 3.0, 'class': AbuFactorAtrNStop},\n",
      "                                        {'pre_atr_n': 1.0, 'class': AbuFactorPreAtrNStop},\n",
      "                                        {'close_atr_n': 1.5, 'class': AbuFactorCloseAtrNStop},]\n",
      "    :param stock_picks: 回测使用的选股因子序列：\n",
      "                    eg:\n",
      "                        stock_pickers = [{'class': AbuPickRegressAngMinMax,\n",
      "                                          'threshold_ang_min': 0.0, 'reversed': False},\n",
      "                                         {'class': AbuPickStockPriceMinMax,\n",
      "                                          'threshold_price_min': 50.0,\n",
      "                                          'reversed': False}]\n",
      "    :param choice_symbols: 备选股票池, 默认为None，即使用abupy.env.g_market_target的市场类型进行全市场回测，\n",
      "                           为None的情况下为symbol序列\n",
      "                    eg:\n",
      "                        choice_symbols = ['usNOAH', 'usSFUN', 'usBIDU', 'usAAPL', 'usGOOG',\n",
      "                                          'usTSLA', 'usWUBA', 'usVIPS']\n",
      "    :param n_folds: int, 回测n_folds年的历史数据\n",
      "    :param start: 回测开始的时间, str对象, eg: '2013-07-10'\n",
      "    :param end: 回测结束的时间, str对象 eg: '2016-07-26'\n",
      "    :param commission_dict: 透传给AbuCapital，自定义交易手续费的时候时候。\n",
      "                    eg：\n",
      "                        def free_commission(trade_cnt, price):\n",
      "                            # 免手续费\n",
      "                            return 0\n",
      "                        commission_dict = {'buy_commission_func': free_commission,\n",
      "                                         'sell_commission_func': free_commission}\n",
      "                        AbuCapital(read_cash, benchmark, user_commission_dict=commission_dict)\n",
      "    \n",
      "    :param n_process_kl: 金融时间序列数据收集启动并行的进程数，默认16\n",
      "    :param n_process_pick: 择时与选股操作启动并行的进程数，默认8\n",
      "    :return: (AbuResultTuple对象, AbuKLManager对象)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(abu.run_loop_back)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 度量的基本使用方法"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如上help信息所示，abu_result_tuple类型为AbuResultTuple对象，AbuMetricsBase类为abupy对回测结果进行度量的基础类，对于基于股票类型的\n",
    "市场进行的回测可以直接使用，对于其它市场度量类有自己的专属类，如AbuMetricsFutures为对期货进行度量时使用，后面的章节示例期货回测时会示例使用。\n",
    "\n",
    "首先通过AbuMetricsBase的参数进行结果度量，如下所示：\n",
    "\n",
    "* 输出的文字信息打印了胜率、获利期望、亏损期望、策略收益、买入成交比例等信息\n",
    "* 第一图为策略收益与基准收益对照\n",
    "* 第二图为策略收益线性拟合曲线\n",
    "* 第三图为策略收益资金概率密度图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "买入后卖出的交易数量:67\n",
      "买入后尚未卖出的交易数量:3\n",
      "胜率:55.2239%\n",
      "平均获利期望:14.1076%\n",
      "平均亏损期望:-7.8008%\n",
      "盈亏比:2.2102\n",
      "策略收益: 48.3078%\n",
      "基准收益: 15.0841%\n",
      "策略年化收益: 24.1539%\n",
      "基准年化收益: 7.5420%\n",
      "策略买入成交比例:80.0000%\n",
      "策略资金利用率比例:28.0706%\n",
      "策略共执行504个交易日\n"
     ]
    },
    {
     "data": {
      "image/png": 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U1RdjMVoGvPik3dyzC1m7z8PHFRtp8jaTZNX4Fxk5chLG8ZWZXyDeEscpWScS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PtHVfs6XR63i1VV+by4vYHtB1sA60NNRJLHxW1XKrp6BnhLN3GgroOqsuxoGthjrx5h/7EOXIbB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\nCCHixv8HD25/dDsJu9QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a10e850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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6LKLg5u50nuVSlSCMDrZtC0JDWPv9BMHq+Y0JG0FMGJpN/579vRmmJuYbX9u2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VAAAI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\nDwCSg1T/qzlRfwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ca53ad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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V5vPAlZurqFqSywsHWwhHHKKOw559pznW1MPObUsTMy/qe/D86P1LUin5+kp1KJtJA3Mv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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a9bc310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from abupy import AbuMetricsBase\n",
    "metrics = AbuMetricsBase(*abu_result_tuple)\n",
    "metrics.fit_metrics()\n",
    "metrics.plot_returns_cmp()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 度量的可视化\n",
    "\n",
    "在AbuMetricsBase执行过程中对回测策略的\n",
    "\n",
    "- 收益, 年化收益\n",
    "- 胜率, 盈亏比\n",
    "- 平均获利期望, 平均亏损期望\n",
    "- 夏普比率, 信息比率\n",
    "- 策略波动率, 阿尔法, 贝塔\n",
    "\n",
    "....................\n",
    "等度量值进行了计算，详情请阅读AbuMetricsBase源代码，关于这些度量值的基础知识请阅读《量化交易之路》中相关章节。\n",
    "\n",
    "下面示例一些度量值的可视化："
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如下代码通过plot_sharp_volatility_cmp()函数可视化策略与基准之间波动率和夏普比率关系："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "alpha阿尔法:0.1899\n",
      "beta贝塔:0.1594\n",
      "Information信息比率:0.0423\n",
      "策略Sharpe夏普比率: 1.8654\n",
      "基准Sharpe夏普比率: 0.5012\n",
      "策略波动率Volatility: 0.1090\n",
      "基准波动率Volatility: 0.1689\n"
     ]
    },
    {
     "data": {
      "image/png": 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5IMmWSe4a67MWLlwy1mbWgcWLh3s9Al1DQ4t6PQIAU8jg4IB9A2TswF/Tq6J9LsnMJAeM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\nBxeNTYgucqHiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a0c8dd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics.plot_sharp_volatility_cmp()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如下代码通过plot_effect_mean_day()函数可视化策略买入因子生效间隔天数， 统计买入因子的生效间隔，如图9-3所示。不同的类型的买入因子策略在生效周期上差别很大，组合不同特性的买入因子组成良好的买入策略很重要，但是要注意买入因子的组合不是组合的因子越多，优势越大，所有因子的组合、不光是优势的组合，同时也是劣势的组合。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "因子平均生效间隔:16.7105263158\n"
     ]
    },
    {
     "data": {
      "image/png": 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fdXr8uRjXPInEkAV8zuoihspwDKhk7tzrj7lmK/pTwG3IlhMKxjTfcAio9zCW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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f03ec90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics.plot_effect_mean_day()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如下代码通过plot_keep_days()函数可视化策略持股天数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "策略持股天数平均数: 45.429\n",
      "策略持股天数中位数: 29.000\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a9bca10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics.plot_keep_days()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如下代码通过plot_sell_factors()函数可视化策略卖出因子生效分布情况:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "卖出生效因子分布：\n",
      "AbuFactorAtrNStop:stop_loss=1.0           18\n",
      "AbuFactorAtrNStop:stop_win=3.0             9\n",
      "AbuFactorCloseAtrNStop:close_atr_n=1.5    31\n",
      "AbuFactorPreAtrNStop:pre_atr=1.5           9\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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Mej8ryVFJtuvuI6rq5Um+2d0Hj/skQ+jes6r2zhBmZzx/3P/vk2yX5KNJDhqD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\nAABMSPAGAACACf0/bwXUD1LzLi8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a9bcf10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics.plot_sell_factors()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "plot_max_draw_down()函数中实现了计算最大回撤并可视化:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3201uSRPhIUaSon3/wmI2Gmj2DrW7ltPlormti5lJ02MegRCDuXae0NceXsjv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\nSZIkSSpZNkSSJEmSSpYNkSRJkqSS9f8BWWqiyhbR5U0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f3af510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "最大回撤: 0.065704\n",
      "最大回测启始时间:2016-04-14, 结束时间2016-07-13, 共回测103775.665000\n"
     ]
    }
   ],
   "source": [
    "metrics.plot_max_draw_down()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 扩展自定义度量类"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "用户可以通过继承AbuMetricsBase，扩展度量值，以及添加其它的度量可视化方法。\n",
    "\n",
    "如下代码示例子类通过实现：\n",
    "\n",
    "1. 扩展_metrics_extend_stats方法，添加交易手续费变化曲线做为度量值\n",
    "2. 添加plot_commission度量可视化方法，可视化收益曲线和手续费曲线之前的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from abupy import ABuScalerUtil\n",
    "\n",
    "class MetricsDemo(AbuMetricsBase):\n",
    "    \"\"\"扩展自定义度量类示例\"\"\"\n",
    "\n",
    "    def _metrics_extend_stats(self):\n",
    "        \"\"\"\n",
    "            子类可扩展的metrics方法，子类在此方法中可定义自己需要度量的值:\n",
    "            本demo示例交易手续费和策略收益之间的度量对比\n",
    "        \"\"\"\n",
    "        commission_df = self.capital.commission.commission_df\n",
    "        commission_df['commission'] = commission_df.commission.astype(float)\n",
    "        commission_df['cumsum'] = commission_df.commission.cumsum()\n",
    "        \"\"\"\n",
    "            eg:\n",
    "                type\tdate\tsymbol\tcommission\tcumsum\n",
    "            0\tbuy\t20141024\tusAAPL\t19.04\t19.04\n",
    "            0\tbuy\t20141024\tusAAPL\t19.04\t38.08\n",
    "            0\tbuy\t20141029\tusNOAH\t92.17\t130.25\n",
    "            0\tbuy\t20141029\tusBIDU\t7.81\t138.06\n",
    "            0\tbuy\t20141029\tusBIDU\t7.81\t145.87\n",
    "            0\tbuy\t20141029\tusVIPS\t60.95\t206.82\n",
    "        \"\"\"\n",
    "        # 讲date转换为index\n",
    "        dates_pd = pd.to_datetime(commission_df.date)\n",
    "        commission = pd.DataFrame(index=dates_pd)\n",
    "        \"\"\"\n",
    "            eg: commission\n",
    "            2014-10-24\t19.04\n",
    "            2014-10-24\t38.08\n",
    "            2014-10-29\t130.25\n",
    "            2014-10-29\t138.06\n",
    "            2014-10-29\t145.87\n",
    "            2014-10-29\t206.82\n",
    "            2014-11-03\t265.82\n",
    "            2014-11-11\t360.73\n",
    "        \"\"\"\n",
    "        commission['cum'] = commission_df['cumsum'].values\n",
    "        self.commission_cum = commission['cum']\n",
    "        self.commission_sum = self.commission_cum[-1]\n",
    "\n",
    "    def plot_commission(self):\n",
    "        \"\"\"\n",
    "            使用计算好的首先费cumsum序列和策略收益cumsum序列进行可视化对比\n",
    "            可视化收益曲线和手续费曲线之前的关系\n",
    "        \"\"\"\n",
    "        print('回测周期内手续费共: {:.2f}'.format(self.commission_sum))\n",
    "        # 使用缩放scaler_xy将两条曲线缩放到同一个级别\n",
    "        x, y = ABuScalerUtil.scaler_xy(self.commission_cum, self.algorithm_cum_returns, type_look='look_max',\n",
    "                                       mean_how=True)\n",
    "        x.plot(label='commission')\n",
    "        y.plot(label='algorithm returns')\n",
    "        plt.legend(loc=2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面代码的MetricsDemo类即完成了扩展自定义度量类的实现，它可以使用本前面使用的AbuMetricsBase中任何方法，\n",
    "如metrics.plot_returns_cmp()，metrics.plot_max_draw_down()等等，它独有度量可视化方法plot_commission():"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "回测周期内手续费共: 4680.93\n"
     ]
    },
    {
     "data": {
      "image/png": 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QtSRSyBERERERSaCIYeDvDZHmUshJFoUcEREREZEE6u0LETEM3OrJSRqFHBERERGRBFJl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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f039510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics = MetricsDemo(*abu_result_tuple)\n",
    "metrics.fit_metrics()\n",
    "metrics.plot_commission()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面通过plot_commission方法中通过ABuScalerUtil.scaler_xy将两条曲线缩放到一个可视化级别上，可视化的目的是更直观的发现策略中的问题，度量值的意义即是提供发现问题的线索值，如上面两条曲线的走势，当策略收益曲线变缓的时候，手续费曲线应该也要随着变缓慢，如果出现两条曲线背离或者完全不跟随的情况，都代表交易策略有问题。\n",
    "\n",
    "自定义度量类时也一定要以发现问题为目的，提供线索为手段进行度量类的个性化定制。\n",
    "\n",
    "备注：关于ABuScalerUtil.scaler_xy等工具的使用在后面的章节会有示例讲解演示"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### abu量化文档目录章节\n",
    "\n",
    "1. [择时策略的开发](http://www.abuquant.com/lecture/lecture_1.html)\n",
    "2. [择时策略的优化](http://www.abuquant.com/lecture/lecture_2.html)\n",
    "3. [滑点策略与交易手续费](http://www.abuquant.com/lecture/lecture_3.html)\n",
    "4. [多支股票择时回测与仓位管理](http://www.abuquant.com/lecture/lecture_4.html)\n",
    "5. [选股策略的开发](http://www.abuquant.com/lecture/lecture_5.html)\n",
    "6. [回测结果的度量](http://www.abuquant.com/lecture/lecture_6.html)\n",
    "7. [寻找策略最优参数和评分](http://www.abuquant.com/lecture/lecture_7.html)\n",
    "8. [A股市场的回测](http://www.abuquant.com/lecture/lecture_8.html)\n",
    "9. [港股市场的回测](http://www.abuquant.com/lecture/lecture_9.html)\n",
    "10. [比特币，莱特币的回测](http://www.abuquant.com/lecture/lecture_10.html)\n",
    "11. [期货市场的回测](http://www.abuquant.com/lecture/lecture_11.html)\n",
    "12. [机器学习与比特币示例](http://www.abuquant.com/lecture/lecture_12.html)\n",
    "13. [量化技术分析应用](http://www.abuquant.com/lecture/lecture_13.html)\n",
    "14. [量化相关性分析应用](http://www.abuquant.com/lecture/lecture_14.html)\n",
    "15. [量化交易和搜索引擎](http://www.abuquant.com/lecture/lecture_15.html)\n",
    "16. [UMP主裁交易决策](http://www.abuquant.com/lecture/lecture_16.html)\n",
    "17. [UMP边裁交易决策](http://www.abuquant.com/lecture/lecture_17.html)\n",
    "18. [自定义裁判决策交易](http://www.abuquant.com/lecture/lecture_18.html)\n",
    "19. [数据源](http://www.abuquant.com/lecture/lecture_19.html)\n",
    "20. [A股全市场回测](http://www.abuquant.com/lecture/lecture_20.html)\n",
    "21. [A股UMP决策](http://www.abuquant.com/lecture/lecture_21.html)\n",
    "22. [美股全市场回测](http://www.abuquant.com/lecture/lecture_22.html)\n",
    "23. [美股UMP决策](http://www.abuquant.com/lecture/lecture_23.html)\n",
    "\n",
    "abu量化系统文档教程持续更新中，请关注公众号中的更新提醒。\n",
    "\n",
    "#### 《量化交易之路》目录章节及随书代码地址\n",
    "\n",
    "1. [第二章 量化语言——Python](https://github.com/bbfamily/abu/tree/master/ipython/第二章-量化语言——Python.ipynb)\n",
    "2. [第三章 量化工具——NumPy](https://github.com/bbfamily/abu/tree/master/ipython/第三章-量化工具——NumPy.ipynb)\n",
    "3. [第四章 量化工具——pandas](https://github.com/bbfamily/abu/tree/master/ipython/第四章-量化工具——pandas.ipynb)\n",
    "4. [第五章 量化工具——可视化](https://github.com/bbfamily/abu/tree/master/ipython/第五章-量化工具——可视化.ipynb)\n",
    "5. [第六章 量化工具——数学：你一生的追求到底能带来多少幸福](https://github.com/bbfamily/abu/tree/master/ipython/第六章-量化工具——数学.ipynb)\n",
    "6. [第七章 量化系统——入门：三只小猪股票投资的故事](https://github.com/bbfamily/abu/tree/master/ipython/第七章-量化系统——入门.ipynb)\n",
    "7. [第八章 量化系统——开发](https://github.com/bbfamily/abu/tree/master/ipython/第八章-量化系统——开发.ipynb)\n",
    "8. [第九章 量化系统——度量与优化](https://github.com/bbfamily/abu/tree/master/ipython/第九章-量化系统——度量与优化.ipynb)\n",
    "9. [第十章 量化系统——机器学习•猪老三](https://github.com/bbfamily/abu/tree/master/ipython/第十章-量化系统——机器学习•猪老三.ipynb)\n",
    "10. [第十一章 量化系统——机器学习•ABU](https://github.com/bbfamily/abu/tree/master/ipython/第十一章-量化系统——机器学习•ABU.ipynb)\n",
    "11. [附录A 量化环境部署](https://github.com/bbfamily/abu/tree/master/ipython/附录A-量化环境部署.ipynb)\n",
    "12. [附录B 量化相关性分析](https://github.com/bbfamily/abu/tree/master/ipython/附录B-量化相关性分析.ipynb)\n",
    "13. [附录C 量化统计分析及指标应用](https://github.com/bbfamily/abu/tree/master/ipython/附录C-量化统计分析及指标应用.ipynb)\n",
    "\n",
    "[更多阿布量化量化技术文章](http://www.abuquant.com/article)\n",
    "\n",
    "更多关于量化交易相关请阅读[《量化交易之路》](http://www.abuquant.com/books/quantify-trading-road.html)\n",
    "\n",
    "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http://www.abuquant.com/books/machine-learning-road.html)\n",
    "\n",
    "更多关于abu量化系统请关注微信公众号: abu_quant\n",
    "\n",
    "如有任何问题也可在公众号中联系我的个人微信号。\n",
    "\n",
    "![](./image/qrcode.jpg)"
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